Secret Agent Team
Agents, Skills, and Jobs to Be Done
A hands-on course about how agents, skills, and tool selection fit together across marketing, personal workflows, and small business use cases.
After you save this
getsavv makes completed learning legible: program, date, and the artifact you shipped — shareable proof, not vapor.
Continue with clarity
The saved item should reopen into a clear next step.
Track meaningful progress
Progress should show stages completed and workflows rebuilt.
Capture proof of work
The goal is a visible artifact, not just a saved reference.
Audience
Operators and marketers moving from prompts to repeatable AI workflows
Format
Self-guided course · 8 modules
Level
Intermediate
Curriculum
Module 1
Agents, skills, and jobs to be done
Start with the task, then decide whether an agent is warranted.
Module 2
What is the best way to do this?
Use decision rules to choose automation, assistance, or manual work.
Module 3
What is the stack?
Pick tools based on constraints, connectors, and required outputs.
Module 4
Building agents in each LLM
Compare implementation patterns across leading model platforms.
Module 5
Marketing, personal, and small business use cases
See where the same patterns generalize and where they break.
Module 6
Self hosting vs cloud
Choose based on reliability, privacy, cost, and speed to value.
Outcomes
- Understand where agents help and where they add noise
- Choose the right stack for the workflow, not the hype cycle
- Map use cases across marketing, personal ops, and small business
- Make clear tradeoffs between self-hosted and cloud setups
Academic Foundations
David A. Kolb · 1984
Experiential Learning
Frames learning as a cycle of concrete experience, reflection, conceptualization, and experimentation.
Peter C. Brown, Henry L. Roediger III, Mark A. McDaniel · 2014
Make It Stick
Synthesizes learning science around retrieval, spacing, interleaving, and generation for durable skill building.
Journey
How this should turn into capability inside getsavv
Saving a strong source should push the learner through a visible sequence from extraction to proof.
Step 1
Add
Save the cohort, challenge, course, or workshop you want to finish.
Step 2
Plan
Turn the program into a concrete completion checklist with the right next step.
Step 3
Complete
Move from enrolled to in progress to completed with visible momentum.
Step 4
Capture
Attach the artifact, workflow, doc, or demo that proves the work happened.
Step 5
Publish
Share one public proof page showing the program, date, and outcome.
Values
The values that should stay visible while learning from this source
Completion before collection
The product should prioritize finished programs over saved intent.
Proof over certificates
A visible artifact matters more than a badge with no work attached.
Make evidence shareable
Every completed program should be easy to share with recruiters, managers, or instructors.
Keep the next step obvious
Progress should reopen into one concrete action, not a vague reminder to come back later.